Pub Date : 2018-09-01DOI: 10.1109/iceee.2018.8533905
{"title":"CCE 2018 Keynote Speakers","authors":"","doi":"10.1109/iceee.2018.8533905","DOIUrl":"https://doi.org/10.1109/iceee.2018.8533905","url":null,"abstract":"","PeriodicalId":6924,"journal":{"name":"2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","volume":"57 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77771594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/ICEEE.2018.8533966
Jorge Alberto Penaloza Enriquez, M. Murguia, R. Hernandez-Ceron, Gerardo Hernandez-Flores
Nowadays, there exist a growing concern regarding the pollution of our planet. Diverse works have been developed in the aquatic environments because of the importance of water for the human life. One way to make a toxicological study of water is through bio-sensors, like the Daphnia, a crustacean sensible to a large variety of substances. Behavior changes of the Daphnia can be related to toxic substance in the water. This work presents the design of an algorithm to detect Daphnia motion. The objective of their algorithm is to provide information such that motion features computation can be performed in a posterior analysis. The proposed algorithm achieved a 96.2% in the FScore metric evaluating 150 samples of 5 videos of one minute each.
{"title":"Algortihm for Daphnia Motion Detection in Toxicological Studies","authors":"Jorge Alberto Penaloza Enriquez, M. Murguia, R. Hernandez-Ceron, Gerardo Hernandez-Flores","doi":"10.1109/ICEEE.2018.8533966","DOIUrl":"https://doi.org/10.1109/ICEEE.2018.8533966","url":null,"abstract":"Nowadays, there exist a growing concern regarding the pollution of our planet. Diverse works have been developed in the aquatic environments because of the importance of water for the human life. One way to make a toxicological study of water is through bio-sensors, like the Daphnia, a crustacean sensible to a large variety of substances. Behavior changes of the Daphnia can be related to toxic substance in the water. This work presents the design of an algorithm to detect Daphnia motion. The objective of their algorithm is to provide information such that motion features computation can be performed in a posterior analysis. The proposed algorithm achieved a 96.2% in the FScore metric evaluating 150 samples of 5 videos of one minute each.","PeriodicalId":6924,"journal":{"name":"2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","volume":"81 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88371535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/ICEEE.2018.8533964
Edgar Estrada Cruz, W. Liu
This paper deals with the a admittance control in bilateral teleoperation with PD controller. In traditional PD structures, the force feedback is simply determined by the position and velocity of the master and the slave manipulators, which may induce large resistance forces to the operator even in free motion. In this paper, a novel PD bilateral controller scheme is proposed. A model-free type admittance control is applied to generate a reference signal in local site, whose parameters can be designed by human operator impedance properties. A PD controller is added in both local and remote site to achieve global stability.
{"title":"Stable PD position/force control in bilateral teleoperation","authors":"Edgar Estrada Cruz, W. Liu","doi":"10.1109/ICEEE.2018.8533964","DOIUrl":"https://doi.org/10.1109/ICEEE.2018.8533964","url":null,"abstract":"This paper deals with the a admittance control in bilateral teleoperation with PD controller. In traditional PD structures, the force feedback is simply determined by the position and velocity of the master and the slave manipulators, which may induce large resistance forces to the operator even in free motion. In this paper, a novel PD bilateral controller scheme is proposed. A model-free type admittance control is applied to generate a reference signal in local site, whose parameters can be designed by human operator impedance properties. A PD controller is added in both local and remote site to achieve global stability.","PeriodicalId":6924,"journal":{"name":"2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","volume":"50 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86114328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/ICEEE.2018.8533900
Ignacio Estevez Espinoza, Y. Matsumoto, M. Ortega-López, J. Espinoza
Quaternary and ternary semiconductors derived from the Cu-Zn-Sn-S system, holds promise as absorber materials for thin film solar cells. This paper presents a study on the phase composition of Cu2SnS3 (CTS) thin films prepared by ultrasonic spray pyrolysis of CuCl2-2H2O, SnCl2 and thiourea (NH2)2CS water-ethanol mixtures. After being deposited on glass-slide substrates, the films were thermally treated at 380 °C for 50 minutes in vacuum. The as-deposited and annealed films consisted of a mixture of monoclinic and tetragonal CTS as determined by Raman spectroscopy. The prepared CTS films have p-type conductivity as verified by the hot-probe method, and energy gaps of 0.87 and 1.15 eV associated to monoclinic and tetragonal phases of CTS.
{"title":"Phase composition of Cu2SnS3 thin films prepared by Ultrasonic Spray Pyrolysis as potential photovoltaic material","authors":"Ignacio Estevez Espinoza, Y. Matsumoto, M. Ortega-López, J. Espinoza","doi":"10.1109/ICEEE.2018.8533900","DOIUrl":"https://doi.org/10.1109/ICEEE.2018.8533900","url":null,"abstract":"Quaternary and ternary semiconductors derived from the Cu-Zn-Sn-S system, holds promise as absorber materials for thin film solar cells. This paper presents a study on the phase composition of Cu2SnS3 (CTS) thin films prepared by ultrasonic spray pyrolysis of CuCl2-2H2O, SnCl2 and thiourea (NH2)2CS water-ethanol mixtures. After being deposited on glass-slide substrates, the films were thermally treated at 380 °C for 50 minutes in vacuum. The as-deposited and annealed films consisted of a mixture of monoclinic and tetragonal CTS as determined by Raman spectroscopy. The prepared CTS films have p-type conductivity as verified by the hot-probe method, and energy gaps of 0.87 and 1.15 eV associated to monoclinic and tetragonal phases of CTS.","PeriodicalId":6924,"journal":{"name":"2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","volume":"30 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79680737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/ICEEE.2018.8533914
Semaria Ruiz Alvarez, J. Oviedo, A. A. Gil
This paper presents the Hybrid Microgrid Optimal Design (Hymod) software. This software features state-of-the-art dynamic models for predicting the power delivered by renewable and conventional sources, as well as the state of charge of storage systems. Furthermore, a novel feature of Hymod consists in incorporating electric vehicles during the microgrid design stage, enabling them to provide ancillary services to the grid. Hymod uses an iterative optimization method that calculates dispatch and design variables simultaneously, has an easy-to-use graphical interface, allows the limitation of the daily energy available from Diesel generation, and includes a monthly variation for the Diesel fuel price. The architecture and operation of Hymod are described and a test use case is shown for the rural community of Unguía in Colombia.
{"title":"Hymod: A Software For Hybrid Microgrid Optimal Design","authors":"Semaria Ruiz Alvarez, J. Oviedo, A. A. Gil","doi":"10.1109/ICEEE.2018.8533914","DOIUrl":"https://doi.org/10.1109/ICEEE.2018.8533914","url":null,"abstract":"This paper presents the Hybrid Microgrid Optimal Design (Hymod) software. This software features state-of-the-art dynamic models for predicting the power delivered by renewable and conventional sources, as well as the state of charge of storage systems. Furthermore, a novel feature of Hymod consists in incorporating electric vehicles during the microgrid design stage, enabling them to provide ancillary services to the grid. Hymod uses an iterative optimization method that calculates dispatch and design variables simultaneously, has an easy-to-use graphical interface, allows the limitation of the daily energy available from Diesel generation, and includes a monthly variation for the Diesel fuel price. The architecture and operation of Hymod are described and a test use case is shown for the rural community of Unguía in Colombia.","PeriodicalId":6924,"journal":{"name":"2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","volume":"36 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89488270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/ICEEE.2018.8533924
Sahir Moreno, Miguel Peña, Alexia Toledo, Ricardo Trevino, Hiram Ponce
Wind turbines are having great impact in the field of clean energies. However, there is a need to improve these technologies in various aspects, such as: maintenance, energy storage, cases of overload or mechanical failure. In maintenance, they constantly suffer of damage in blades typically to be in the open air and in constant operation. The most well-known damages in blades are identified as: impact of rays, wearing, fractures by cutting forces, freezing, among others. Because of all these factors, it is necessary to develop a predictive technique to help us to do the inspections of the blades in a safer and more effective way than manual inspection. In that sense, this paper introduces a deep learning vision-based approach to automatically analyze each part of the face of the blade, capable of making the detection of certain faults (impact of rays, wear and fractures). In addition, we present a proof-of-concept using a robot to automatically detect failures in wind turbine blades. Experimental results validate our vision system.
{"title":"A New Vision-Based Method Using Deep Learning for Damage Inspection in Wind Turbine Blades","authors":"Sahir Moreno, Miguel Peña, Alexia Toledo, Ricardo Trevino, Hiram Ponce","doi":"10.1109/ICEEE.2018.8533924","DOIUrl":"https://doi.org/10.1109/ICEEE.2018.8533924","url":null,"abstract":"Wind turbines are having great impact in the field of clean energies. However, there is a need to improve these technologies in various aspects, such as: maintenance, energy storage, cases of overload or mechanical failure. In maintenance, they constantly suffer of damage in blades typically to be in the open air and in constant operation. The most well-known damages in blades are identified as: impact of rays, wearing, fractures by cutting forces, freezing, among others. Because of all these factors, it is necessary to develop a predictive technique to help us to do the inspections of the blades in a safer and more effective way than manual inspection. In that sense, this paper introduces a deep learning vision-based approach to automatically analyze each part of the face of the blade, capable of making the detection of certain faults (impact of rays, wear and fractures). In addition, we present a proof-of-concept using a robot to automatically detect failures in wind turbine blades. Experimental results validate our vision system.","PeriodicalId":6924,"journal":{"name":"2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","volume":"44 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75840925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/ICEEE.2018.8533912
Ruben Hernández, F. Jurado
Underactuated systems are mechanical systems with fewer actuators than the system degrees of freedom, i.e., some degrees of freedom are not directly driven by actuators. Many benchmark underactuated systems have been developed to study the nature of underactuated dynamics and their possible controller designs. These systems include, but are not limited to, the acrobot, pendubot, cart pole system, overhead crane, translational oscillator/rotational actuator (TORA) system, and rotary inverted pendulum. Unlike fully actuated systems where many control strategies are available for an entire class of systems, there are few results applicable to even a small class of underactuated mechanical systems. In this paper, an adaptive neural sliding mode controller (ANSMC) is proposed in order to stabilize an inverted pendulum mounted on a ball system; this latter an interesting underactuated mechanical system for which the controller designs are a pending task, i.e. the performance for different control strategies could be explored. The performance of our proposal is verified via numerical simulation using the mathematical model for a benchmark prototype based on the LEGO Mindstorms NXT kit, showing the robustness against time-varying uncertainties and disturbances.
{"title":"Adaptive Neural Sliding Mode Control of an Inverted Pendulum Mounted on a Ball System","authors":"Ruben Hernández, F. Jurado","doi":"10.1109/ICEEE.2018.8533912","DOIUrl":"https://doi.org/10.1109/ICEEE.2018.8533912","url":null,"abstract":"Underactuated systems are mechanical systems with fewer actuators than the system degrees of freedom, i.e., some degrees of freedom are not directly driven by actuators. Many benchmark underactuated systems have been developed to study the nature of underactuated dynamics and their possible controller designs. These systems include, but are not limited to, the acrobot, pendubot, cart pole system, overhead crane, translational oscillator/rotational actuator (TORA) system, and rotary inverted pendulum. Unlike fully actuated systems where many control strategies are available for an entire class of systems, there are few results applicable to even a small class of underactuated mechanical systems. In this paper, an adaptive neural sliding mode controller (ANSMC) is proposed in order to stabilize an inverted pendulum mounted on a ball system; this latter an interesting underactuated mechanical system for which the controller designs are a pending task, i.e. the performance for different control strategies could be explored. The performance of our proposal is verified via numerical simulation using the mathematical model for a benchmark prototype based on the LEGO Mindstorms NXT kit, showing the robustness against time-varying uncertainties and disturbances.","PeriodicalId":6924,"journal":{"name":"2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","volume":"24 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74869907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/iceee.2018.8533971
{"title":"CCE 2018 Cover Page","authors":"","doi":"10.1109/iceee.2018.8533971","DOIUrl":"https://doi.org/10.1109/iceee.2018.8533971","url":null,"abstract":"","PeriodicalId":6924,"journal":{"name":"2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","volume":"107 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79408349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/iceee.2018.8533984
{"title":"CCE 2018 Program Chairs","authors":"","doi":"10.1109/iceee.2018.8533984","DOIUrl":"https://doi.org/10.1109/iceee.2018.8533984","url":null,"abstract":"","PeriodicalId":6924,"journal":{"name":"2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81180400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/iceee.2018.8533879
{"title":"CCE 2018 Abstracts","authors":"","doi":"10.1109/iceee.2018.8533879","DOIUrl":"https://doi.org/10.1109/iceee.2018.8533879","url":null,"abstract":"","PeriodicalId":6924,"journal":{"name":"2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","volume":"68 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90739760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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